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Springer Business Analytics: Data Science for Business Problems

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£73.14 £68.82 £69.76 £70.70 £71.65 £72.59 £73.53 12 August 2026 25 August 2026 08 September 2026 22 September 2026 06 October 2026
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Description

Business Analytics: Data Science for Business Problems by Springer is a practical guide designed to equip professionals with three essential knowledge areas for solving real-world business challenges through data analysis. The book combines foundational understanding of statistical, econometric, and machine learning techniques with practical data handling capabilities and programming expertise using Python. Through illustrative case studies and examples presented in Jupyter notebooks, readers learn to apply these skills to demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market analysis, and advertising strategy. This volume bridges theory and practice, making complex data science concepts accessible for business professionals seeking to leverage analytics for strategic decision-making and problem-solving.

Key Features

Covers three core knowledge requirements: statistical and machine learning techniques, data handling capabilities, and Python programming language fundamentals.

Includes practical case studies and real-world examples using Python within Jupyter notebooks for hands-on learning.

Addresses key business applications including demand forecasting, predictive modeling, pricing strategy, and customer satisfaction measurement.

Published by Springer with a focus on practical orientation and business problem-solving methodologies.

Combines econometric analysis with modern machine learning approaches for comprehensive data science education.

Product Specifications

Colour
Sd-mo27
Size
3' X 6'
Format
paperback
Domain
Amazon UK
Release Date
05 January 2023
Listed Since
21 August 2020

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No barcode data available

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